AI-POWERED MARKETING AUTOMATION: THE FUTURE OF PERSONALIZED CUSTOMER EXPERIENCES

Abstract

Personalized client experiences are essential in the present-day digitally-driven marketplace. Recognizing this trend, many businesses are turning to Artificial Intelligence (AI) to boost their marketing efforts. This research paper explores the emerging field of AI-Powered Marketing Automation (AIMA) and its implications for tailored customer engagement. The study sets out with three main objectives. Firstly, it seeks to assess the current adoption and future trends of AI-powered marketing automation across various industries. Secondly, the research aims to evaluate the effectiveness of AI-driven personalization techniques in enhancing customer engagement, satisfaction, and loyalty. Lastly, the study aims to delve into existing literature, with a particular focus on addressing key research sub-questions. These include investigating how marketing automation impacts customer experience and buying decisions, exploring the potential support that marketing automation offers to sales efforts, and examining the diverse applications of marketing automation in the realm of B2B marketing. Through this comprehensive approach, the study aims to shed light on the evolving landscape of AI-powered marketing automation and its implications for personalized customer experiences. This qualitative study employs a mixed-methods approach encompassing both quantitative and qualitative analyses. Consumer experiences with AI-powered marketing personalization will be evaluated through a survey. The purpose of the literature review approach is to determine the current state of research and to improve understanding of Marketing Automation. Data analysis will be conducted using statistical software for quantitative survey data. The research design will primarily focus on thematic analysis of existing literature, and research papers related to AI Powered Marketing Automation.